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Techniques to Identify Image Objects Under Adverse Environmental Conditions: A Systematic Literature Review

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Data Analytics for Internet of Things Infrastructure

Part of the book series: Internet of Things ((ITTCC))

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Abstract

For traffic and security surveillance, moving object detection and segmentation are critical. Detecting moving objects in dynamic environments is more difficult than it is in static environments. In this paper, all the research articles published between 2011 and 2022 in IEEE Xplore, ScienceDirect conferences, and various journals were referenced for a systematic review on identifying different objects from images/videos taken under adverse environmental conditions. We used different tags and keywords to search for papers on the topic under study. All the papers were studied, the proposed techniques were analyzed, and information was gathered. On the basis of this analysis, we present some future prospects for the area under study. We also present a survey of various techniques proposed by various researchers to detect moving objects under various environmental conditions over a period of time.

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Authors and Affiliations

  1. Bhagwant University, Ajmer, India

    Navjot Kaur & Kalpana Sharma

  2. Lovely Professional University, Phagwara, Punjab, India

    Navjot Kaur & Anuj Jain

Authors
  1. Navjot Kaur
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  2. Kalpana Sharma
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  3. Anuj Jain
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Correspondence to Navjot Kaur .

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Editors and Affiliations

  1. SRM Institute of Science and Technology, Delhi NCR Campus, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  2. Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  3. Xi’an Shiyou University, Xi'An, China

    Yan Zhang

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Kaur, N., Sharma, K., Jain, A. (2023). Techniques to Identify Image Objects Under Adverse Environmental Conditions: A Systematic Literature Review. In: Sharma, R., Jeon, G., Zhang, Y. (eds) Data Analytics for Internet of Things Infrastructure. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-33808-3_11

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  • DOI: https://doi.org/10.1007/978-3-031-33808-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33807-6

  • Online ISBN: 978-3-031-33808-3

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